| 引用本文: | 刘浩宇,高树国,李沂新,李润恺,祝令瑜.MMC桥臂电抗器电流分布特性与匝间短路故障诊断方法[J].电力自动化设备,2025,45(12):228-234. |
| LIU Haoyu,GAO Shuguo,LI Yixin,LI Runkai,ZHU Lingyu.Current distribution characteristics and turn-to-turn short circuit fault diagnosis method of MMC bridge arm reactor[J].Electric Power Automation Equipment,2025,45(12):228-234. |
|
| 摘要: |
| 海上风电运行环境复杂，模块化多电平换流器(MMC)拓扑中桥臂电抗器运行特征与交流电压下的电抗器有显著差异。根据桥臂电抗器含谐波交流与直流叠加的工况特点，提出采用工频畸变率和2倍频畸变率分布的匝间短路故障诊断方法。仿真与实验结合，研究了激励幅值、激励频率和短路位置对电抗器各层电流分布的影响规律；进一步研究了复合频率激励下的电流分布特性。提出了采用工频畸变率与2倍频畸变率作为特征值，对其进行二阶中心差分可有效识别匝间短路故障。所提监测方法显著提升了桥臂电抗器匝间短路故障诊断的灵敏度和稳定性。 |
| 关键词: 海上风电 桥臂电抗器 匝间短路 电流分布 故障诊断 模块化多电平换流器 |
| DOI：10.16081/j.epae.202511003 |
| 分类号:TM614 |
| 基金项目:国网河北省电力有限公司科技项目(kj2024?126) |
|
| Current distribution characteristics and turn-to-turn short circuit fault diagnosis method of MMC bridge arm reactor |
|
LIU Haoyu1, GAO Shuguo1, LI Yixin2, LI Runkai2, ZHU Lingyu2
|
|
1.State Grid Hebei Electric Power Electric Power Company Research Institute, Shijiazhuang 050021, China;2.School of Electrical Engineering, Xi’an Jiaotong University, Xi’an 710049, China
|
| Abstract: |
| The operational environment for offshore wind power is complex, and the operating characteristics of the arm inductors in modular multilevel converter(MMC) topologies differ significantly from inductors under AC voltage. Based on the operational condition of the arm inductors involving superimposed harmonic AC and DC, a fault diagnosis method for turn-to-turn short circuits using the distribution of the fundamental frequency distortion rate and the double-frequency distortion rate is proposed. Through a combination of simulation and experiments, the influence patterns of excitation amplitude, excitation frequency, and short circuit location on the current distribution across each layer of the inductor are investigated. Furthermore, the current distribution characteristics under composite frequency excitation are studied. It is proposed that using the fundamental frequency distortion rate and the double-frequency distortion rate as characteristic values, and applying the second-order central difference to them, can effectively identify turn-to-turn short circuit faults. The proposed monitoring method significantly improves the sensitivity and stability of turn-to-turn short circuit fault diagnosis in bridge arm reactor. |
| Key words: offshore wind power bridge arm reactor turn-to-turn short circuit current distribution fault diagnosis modular multilevel converter |
